Latency in Cyber-Physical Systems: The Role of Visual Feedback Delays on Manual Skill Learning

2021 ◽  
pp. 1138-1146
Author(s):  
Annika Dix ◽  
Jens R. Helmert ◽  
Sebastian Pannasch
Author(s):  
Nicholas F. Maxemchuk ◽  
Patcharinee Tientrakool ◽  
Theodore L. Willke

Cyber-physical systems use sensing, communications, and computing to control the operation of physical devices. Sensing and computing devices have been embedded in automobiles and in the transportation infrastructure. Communications adds a new dimension to the capabilities of these systems. The embedded computers and sensors in both vehicles and the infrastructure will be networked into cyber-physical systems that reduce accidents, improve fuel efficiency, increase the capacity of the transportation infrastructure, and reduce commute times. The authors describe applications that improve the operation of automobiles, control traffic lights, and distribute the load on roadways. The requirements on the communications protocols that implement the applications are determined and a new communications paradigm, neighborcast, is described. Neighborcast communicates between nearby entities, and is particularly well suited to transportation applications.


2015 ◽  
Vol 6 (4) ◽  
pp. 26-32 ◽  
Author(s):  
Marco Garetti ◽  
Luca Fumagalli ◽  
Elisa Negri

Abstract Cyber Physical Systems are an evolution of embedded systems featuring a tight combination of collaborating computational elements that control physical entities. CPSs promise a great potential of innovation in many areas including manufacturing and production. This is because we obtain a very powerful, flexible, modular infrastructure allowing easy (re) configurability and fast ramp-up of manufacturing applications by building a manufacturing system with modular mechatronic components (for machining, transportation and storage) and embedded intelligence, by integrating them into a system, through a network connection. However, when building such kind of architectures, the way to supply the needed domain knowledge to real manufacturing applications arises as a problem to solve. In fact, a CPS based architecture for manufacturing is made of smart but independent manufacturing components without any knowledge of the role they have to play together in the real world of manufacturing applications. Ontologies can supply such kind of knowledge, playing a very important role in CPS for manufacturing. The paper deals with this intriguing theme, also presenting an implementation of this approach in a research project for the open automation of manufacturing systems, in which the power of CPS is complemented by the support of an ontology of the manufacturing domain.


The growth of technologies lead to a lot of improvements in almost all the fields. A huge man power is used in all the fields especially in manufacturing sectors. We can reduce man power mainly for the work which can be done by machines in an efficient manner. Industry 4.0 is focusing mainly for this purpose. Cyber physical systems are used to build a system with better communication and data collection in a shared and collaborative manner from all components of that system in safe and reliable manner. As though CPS is starting its implementation in all the fields this work deals mainly with role of cyber physical systems for smart learning environments. This work forms a basic study of those systems.


2019 ◽  
Vol 17 (4) ◽  
pp. 381-391 ◽  
Author(s):  
Leonid Melnyk ◽  
Oleksandr Kubatko ◽  
Iryna Dehtyarova ◽  
Oleksandr Matsenko ◽  
Oleksandr Rozhko

The development of human civilization is related to the constant change of economic formations, and the current social and economic situation is determined by such concepts as Society 5.0, Fourth, and Fifth Industrial Revolutions (FIR, FiIR). The paper aims to estimate the change of human role in each economic formation caused by industrial revolutions. A structured review methodology with a focus on biological, labor, and personal entity of human within the industrial revolutions is used. The description of the changes between the biological, labor, and personality entities of human in various socio-economic formations is discussed. The human as a biological entity is not changed in the first four industrial revolutions, while the FiIR tries to change the biological entity through augmenting the physical capacity. The human as a labor entity is not changed in the first three industrial formations, while the FIR tries to replace the majority of physical human jobs and opens the gate for creative economy and decisions-making. The direct labor participation is minimized within FIR since the economic systems move to the transition to the dominant role of cyber-physical systems. The personal human development is triggered within the FiIR, since informational diversity in economic systems is actualized, and conditions for creative jobs within the creative economy are formed. The biological, labor, and personality entities of human are sequentially actualized within the economic formation caused by industrial revolutions.


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